Results 181 to 190 of about 466 (245)

Coupled Free Vibration of Spinning Functionally Graded Porous Double-Bladed Disk Systems Reinforced with Graphene Nanoplatelets. [PDF]

Materials (Basel), 2020
Zhao T, Ma Y, Zhang H, Yang J.
europepmc   +1 more source

Study on Classification and Detection of Operational Fatigue in Deep‐Well Mining Truck Drivers Based on GSWOA‐LSSVM

Safety Science and Technology, EarlyView.
ABSTRACT Effectively detecting the operational fatigue of miners can identify safety risks in mines. As the executors of auxiliary transportation in mines, the operational fatigue status of mining truck drivers deserves particular attention and detection.
Ying Chen, Jikun Lu, Caiwu Lu, Qinghua Gu, Song Jiang   +4 more
wiley   +1 more source

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Structural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee, Byeung‐Kuy Jung, Byung Kwan Oh   +2 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Discrete Lagrange equations [PDF]

Bulletin of the Australian Mathematical Society, 1988
openaire   +2 more sources

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong, Shaoyuan Sun, Yunliang Jiang, Lin Wei   +3 more
wiley   +1 more source

Distributed k‐WTA Network for Multi‐Manipulator Competition With Experimental Verifications

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this article, a new distributed k $k$‐winner‐take‐all (Dk $k$‐WTA) network is designed and used to construct a dynamic allocation scheme for competitive coordination tasks of multiple manipulators as embodied agents. The scheme is constructed based on the following two aspects. On one hand, with reference to a perspective that the Laplacian
Shengkai Sun, Yutong Li, Jianfeng Lv
wiley   +1 more source

Diffusion of Characteristic Gases in Oil‐Immersed Transformer by Computational Fluid Dynamics Simulation and Experimental Verification

High Voltage, EarlyView.
ABSTRACT The complex diffusion of characteristic gases within oil‐immersed transformers significantly influences the timeliness between the fault occurrence and gas detection. So far, the gas transport processes and spatio‐temporal distributions remain inadequately understood.
Chunpeng Li, Yuan Li, Jianyi Wang, Zhengqin Zhou, Zhihao Liu, Zhiqiu Chen, Dongyang Zheng, Guanjun Zhang   +7 more
wiley   +1 more source

An Improved Method for Calculating the Radiative Cooling Heat Dissipation Power of an Oil‐Natural‐Air‐Natural Transformer

High Voltage, EarlyView.
ABSTRACT Radiative cooling holds potential for outdoor transformers in operation due to its zero‐energy consumption and high adaptability and has demonstrated effective heat dissipation in simulations of small distribution transformers. Accurate calculation of the transformer temperature rise and the radiative cooling effect is crucial for practical ...
Guoqiang Gao, Chuan Zhang, Yujun Guo, Yijie Liu, Xianzhi Zhou, Xiangyu Liu, Xingyi Huang, Guangning Wu   +7 more
wiley   +1 more source